Hostname: page-component-cd9895bd7-dk4vv Total loading time: 0 Render date: 2024-12-28T21:19:24.275Z Has data issue: false hasContentIssue false
  • English
  • Français

An introduction to FLR fisheries simulation tools

Published online by Cambridge University Press:  17 June 2009

Richard Hillary
Richard Hillary*
Affiliation:
Division of Biology, Imperial College, Ascot, SL5 7PL, UK
*
[email protected]
Get access

Abstract

Fisheries libraries in R (FLR) is an open-source software framework based in the R statistical software environment, with the main purpose of allowing for the efficient simulation and evaluation of fisheries management strategies. This paper details a generic (non-spatial) biological operating model used to simulate populations and their reaction to fishing, and an observation error model and methods for simulating structured sampling/observation error and bias in key fisheries assessment indices. It also contains the details of how the candidate harvest control rules, based on survey-derived information, can be characterised and implemented, and how the processes of management strategy evaluation and stock assessment can be included in the simulations.

Keywords

Management strategy evaluationFishery-independent dataObservation error modelHarvest control rulesFLR
Type
Research Article
Information
Aquatic Living Resources , Volume 22 , Issue 2: Fish Stock Assessments Using Surveys and Indicators , April 2009 , pp. 225 - 232
Copyright
© EDP Sciences, IFREMER, IRD, 2009

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Anonymous, 2008, Report of the working party on tropical tunas. IOTC, Victoria, Mahe, Seychelles.
Bull B., Francis R.I.C.C., Dunn A., McKenzie A., Gilbert D.J., Smith M.H., 2005, CASAL User Manual v2.07-2005/07/06. Nat. Inst. Water Atmosph. Res. NZ, Tech. Rep. 126.
Butterworth D.S., Cochrane K.L., De Oliveira J.A.A., 1997, Management procedures: a better way to manage fisheries? The South African experience. In: Pikitch E.K., Huppert D.D., Sissenwine M.P. (Eds.).Global trends: fisheries management. Am. Fish. Soc. Symp. 20, pp. 83–90.
Butterworth, D.S., Punt, A.E., 1999, Experiences in the evaluation and interpretation of management procedures. ICES J. Mar. Sci. 56, 985–998. CrossRef
Campbell R.A., Dowling N.A., 2005, Evaluating harvest strategies for a rapidly expanding fishery: the Australian broadbill swordfish fishery. In: Kruse G.H, Gallucci V.F., Hay D.E., Perry R.I, Peterman R.M., Shirley T.C., Spencer P.D., Wilson B., Woodby D. (Eds.) Fisheries assessment and management in data-limited situations. University of Alaska, Fairbanks. Alaska Sea Grant College Program Report, 05–02, pp. 509–532.
COBECOS, 2008, Costs and benefits of fisheries control strategies. URL: https://cobecos.jrc.ec.europa.eu/
Darby C.D., Flatman S., 1994, Lowestoft VPA Suite version 3.1, MAFF.
De Oliveira, J.A.A., Butterworth, D.S., 2004, Developing and refining a joint management procedure for the multispecies South African pelagic fishery. ICES J. Mar. Sci. 61, 1432–1442. CrossRef
EFIMAS, 2007, Operational evaluation tools for fisheries management options. URL: http://www.efimas.org/.
Hillary R.M., 2009, Assessment and tag program adaption methods for exploratory fisheries in the CCAMLR area: an example application for sub-area 58.4.3a. CCAMLR Sci. (in press)
Hoff, A., Frost, H., 2008, Modelling economic response to harvest and effort control in North Sea cod fishery. Aquat. Living. Resour. 21, 259–264. CrossRef
Kell, L.T., Mosqueira, I., Grosjean, P., Fromentin, J.M., Garcia, D., Hillary, R., Jardim, E., Mardle, S., Pastoors, M.A., Poos, J.J., Scott, F., Scott, R.D., 2007, FLR: an open-source framework for the evaluation and development of management strategies. ICES J. Mar. Sci. 64, 640–646. CrossRef
Nash R.D.M., Dickey-Collas M., Kell, L.T., 2009, Stock and recruitment in North Sea herring (Clupea harengus); compensation and depensation in population dynamics. Fish. Res. 95, 88–97.
Needle, C.L., 2008, Management strategy evaluation for North Sea haddock. Fish. Res. 94, 141-150. CrossRef
Patterson K.R., Melvin G.D., 1995, Integrated catch analysis version 1.2. - Scottish Fish. Res. Rep. N° 58.
Punt, A.E., Smith, A.D.M., 1999, Harvest strategy evaluation for the eastern stock of gemfish (Rexea solandri). ICES J. Mar. Sci. 56, 860–875. CrossRef
Rademeyer, R.A., Plagányi, E.E., Butterworth, D.S., 2007, Tips and tricks in designing management procedures. ICES J. Mar. Sci. 64, 618–625. CrossRef
Ricker W.E., 1958, Handbook of computation for biological statistics of fish populations. Bull. Fish. Resour. Board Can. 119.
SC-CAMLR, 2008, Report of the working group on fish stock assessment. Report of the 26th Meeting of the Scientific Committee (SC-CAMLR-XXVI), Annex 5. CCAMLR, Hobart, Australia.